Literature DB >> 11800578

Nuclear magnetic resonance and plant metabolic engineering.

Yair Shachar-Hill1.   

Abstract

Nuclear magnetic resonance (NMR) can be used to measure metabolite levels and metabolic fluxes, to probe the intracellular environment, and to follow transport and energetics nondestructively. NMR methods are therefore powerful aids to understanding plant metabolism and physiology. Both spectroscopy and imaging can help overcome the unique challenges that plants present to the metabolic engineer by detecting, identifying, quantifying, and localizing novel metabolites in vivo and in extracts; revealing the composition and physical state of cell wall and other polymers; allowing the identification of active pathways; providing quantitative measures of metabolic flux; and testing hypotheses about the effects of engineered traits on plant physiological function. The aim of this review is to highlight recent studies in which NMR has contributed to metabolic engineering of plants and to illustrate the unique characteristics of NMR measurements that give it the potential to make greater contributions in the future.

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Year:  2002        PMID: 11800578     DOI: 10.1006/mben.2001.0215

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  3 in total

1.  Quantification of compartmented metabolic fluxes in developing soybean embryos by employing biosynthetically directed fractional (13)C labeling, two-dimensional [(13)C, (1)H] nuclear magnetic resonance, and comprehensive isotopomer balancing.

Authors:  Ganesh Sriram; D Bruce Fulton; Vidya V Iyer; Joan Marie Peterson; Ruilian Zhou; Mark E Westgate; Martin H Spalding; Jacqueline V Shanks
Journal:  Plant Physiol       Date:  2004-10-01       Impact factor: 8.340

2.  Volatile metabolites.

Authors:  Daryl D Rowan
Journal:  Metabolites       Date:  2011-11-25

3.  Acetate and bicarbonate assimilation and metabolite formation in Chlamydomonas reinhardtii: a 13C-NMR study.

Authors:  Himanshu Singh; Manish R Shukla; Kandala V R Chary; Basuthkar J Rao
Journal:  PLoS One       Date:  2014-09-10       Impact factor: 3.240

  3 in total

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